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This study examines individual and shared emotion regulation strategies, and their effects on team performance in 16 student teams (N = 48) participating at an international programming competition (hackathon). Using multimodal data and a mixed-methods approach, we identified the types of self, co- and shared emotion regulation strategies teams applied to manage teamwork challenges. Our findings led to a comprehensive model of team emotion regulation, classifying 29 unique shared emotion regulation strategies into five major categories. This model extends the emotion regulation model for individuals (Gross, 1998, 2015) and serves as an important contribution to the field of collaborative learning. Findings have implications for enhancing team performance in breakdowns by focusing on regulation strategies that can lead to challenge resolution.